MCP Browser Agent

MIT License

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Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Schema

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Tools

Functions exposed to the LLM to take actions

Name	Description
get_planner_state	Get the current browser state and planning context. This tool must be executed before execute_actions tool. Must return a JSON string in the format: { "current_state": { "evaluation_previous_goal": "Success\|Failed\|Unknown - Analysis of previous actions", "memory": "Description of what has been done and what to remember", "next_goal": "What needs to be done with the next immediate action" }, "action": [ {"action_name": {"param1": "value1", ...}}, ... ] }
execute_actions	Execute actions from the planner state. Args: actions: A dictionary containing the planner state and actions in format: { "current_state": { "evaluation_previous_goal": str, "memory": str, "next_goal": str }, "action": [ {"action_name": {"param1": "value1"}}, ... ] } Note: If the page state changes (new elements appear) during action execution, the sequence will be interrupted and you'll need to get a new planner state.

Name

Description

get_planner_state

Get the current browser state and planning context. This tool must be executed before execute_actions tool.

Must return a JSON string in the format:
{
    "current_state": {
        "evaluation_previous_goal": "Success|Failed|Unknown - Analysis of previous actions",
        "memory": "Description of what has been done and what to remember",
        "next_goal": "What needs to be done with the next immediate action"
    },
    "action": [
        {"action_name": {"param1": "value1", ...}},
        ...
    ]
}

execute_actions

Execute actions from the planner state.

Args:
    actions: A dictionary containing the planner state and actions in format:
            {
                "current_state": {
                    "evaluation_previous_goal": str,
                    "memory": str,
                    "next_goal": str
                },
                "action": [
                    {"action_name": {"param1": "value1"}},
                    ...
                ]
            }
            
Note: If the page state changes (new elements appear) during action execution,
the sequence will be interrupted and you'll need to get a new planner state.

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